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[] [Packt] Hands-On Machine Learning with Scala and Spark [FCO]

  • 收录时间:2019-07-04 07:29:02
  • 文件大小:367MB
  • 下载次数:54
  • 最近下载:2021-01-22 03:59:17
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文件列表

  1. 03.Building a Clustering Model with Spark/0302.Implementing GMM in Apache Spark.mp4 32MB
  2. 04.Dimensionality Reductions and Recommendation Engines/0403.Using Recommendation Engine to Get Top Recommendations.mp4 26MB
  3. 01.Advanced Text Processing in Spark and Building a Classification Model/0104.Extracting Features from Data – Transforming Text into Vector of Numbers.mp4 23MB
  4. 01.Advanced Text Processing in Spark and Building a Classification Model/0101.The Course Overview.mp4 19MB
  5. 01.Advanced Text Processing in Spark and Building a Classification Model/0102.Analyzing Text Input Data.mp4 19MB
  6. 02.Building a Regression Model with Spark/0205.Learn How to Validate Models Using Cross-Validation.mp4 19MB
  7. 04.Dimensionality Reductions and Recommendation Engines/0402.Building Recommendation Engine in Spark Using Collaborative Filtering.mp4 18MB
  8. 03.Building a Clustering Model with Spark/0304.Implementing K-Means Clustering in Apache Spark.mp4 18MB
  9. 01.Advanced Text Processing in Spark and Building a Classification Model/0106.Training Classification Models – Implementing Word2Vect Using Apache Spark.mp4 16MB
  10. 02.Building a Regression Model with Spark/0203.Training Regression Model.mp4 15MB
  11. 05.Deep Learning with Spark/0502.Spark for Parallelizing Deep Learning Evaluation.mp4 15MB
  12. 05.Deep Learning with Spark/0504.SparkDeep Learning Made Simple.mp4 15MB
  13. 01.Advanced Text Processing in Spark and Building a Classification Model/0103.Feature Generation from Text – Count Vectorizer, TFIDF, LDA.mp4 14MB
  14. 04.Dimensionality Reductions and Recommendation Engines/0401.Dimensionality Reduction Using Singular Value Decomposition (SVD).mp4 14MB
  15. 04.Dimensionality Reductions and Recommendation Engines/0404.Dense and Sparse Vectors.mp4 14MB
  16. 03.Building a Clustering Model with Spark/0305.Measure Accuracy Using Area Under ROC.mp4 13MB
  17. 05.Deep Learning with Spark/0503.Deep Learning As a Feature Generator for Existing Spark ML Algorithms.mp4 12MB
  18. 04.Dimensionality Reductions and Recommendation Engines/0405.LabeledPoints, Rating, and Other Data Types.mp4 10MB
  19. 02.Building a Regression Model with Spark/0204.Key Concepts, Machine Learning Pipelines, and Operations.mp4 10MB
  20. 02.Building a Regression Model with Spark/0201.Logistic Regression Explanation.mp4 9MB
  21. 02.Building a Regression Model with Spark/0202.Writing a Logistic Regression Model Per Author in Apache Spark.mp4 9MB
  22. 01.Advanced Text Processing in Spark and Building a Classification Model/0105.Bag-of-Words and Skip Gram.mp4 8MB
  23. 05.Deep Learning with Spark/0501.The Spark versus Deep Learning Use Case.mp4 8MB
  24. 03.Building a Clustering Model with Spark/0301.Analyzing Time of Post Using Clustering – (GMM Explanation).mp4 6MB
  25. 03.Building a Clustering Model with Spark/0303.K-Means Clustering Explanation and Use Cases.mp4 4MB
  26. Discuss.FreeTutorials.Us.html 166KB
  27. FreeCoursesOnline.Me.html 108KB
  28. FreeTutorials.Eu.html 102KB
  29. Exercise Files/exercise_files.zip 56KB
  30. [TGx]Downloaded from torrentgalaxy.org.txt 524B
  31. How you can help Team-FTU.txt 259B
  32. Torrent Downloaded From GloDls.to.txt 84B